Income Distribution and Analysis in Las Vegas, Nevada
2022
- 86Usage
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Usage86
- Downloads58
- Abstract Views28
Interview Description
This research project shows income distribution and compares it with variables that could be factors or indicators of that income level. The variables include smoking/drinking, race/ethnicity, education, and gender. While all these factors are not mutually exclusive, some could have more significant impacts based on opinion. Metropolitan areas in the United States often contain stark contrasts of income disparities, from many homeless to some of the wealthiest people in the world and everything in between. Visitors to Las Vegas, Nevada, as one particular example, may witness these stark realities as they move around the city. The variables selected are often related to the disparities observed in the urban landscape of cities such as Las Vegas. As such, the study area for this project is Las Vegas, as it has a large sample size and has well-defined boundaries. The data used are from multiple sources, including public health, census, and other open secondary data sources. This project aims to find areas of interest (AOI) that could be prime targets for intervention by public projects that could minimize these disparities.
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